createExistingSplitSettings: Create the settings for defining how the plpData are split...

In OHDSI/PatientLevelPrediction: Develop Clinical Prediction Models Using the Common Data Model

Create the settings for defining how the plpData are split into test/validation/train sets using an existing split - good to use for reproducing results from a different run

Description

Create the settings for defining how the plpData are split into test/validation/train sets using an existing split - good to use for reproducing results from a different run

Usage

createExistingSplitSettings(splitIds)

Arguments

splitIds

(data.frame) A data frame with rowId and index columns of type integer/numeric. Index is -1 for test set, positive integer for train set folds

Value

An object of class splitSettings

Examples

# rowId 1 is in fold 1, rowId 2 is in fold 2, rowId 3 is in the test set
# rowId 4 is in fold 1, rowId 5 is in fold 2
createExistingSplitSettings(splitIds = data.frame(rowId = c(1, 2, 3, 4, 5),
                                                  index = c(1, 2, -1, 1, 2)))

OHDSI/PatientLevelPrediction documentation built on Feb. 14, 2025, 9:44 a.m.